Our approach relates to work on conversational agents (CAs), where neural models automatically generate responses [1]}, [2]}, topic models produce focused responses [3]},
self-disclosure yields targeted responses [4]}, and SE detection employs topic models [5]} and NLP of conversations [6]}. However, all such approaches are limited to a pre-defined set of topics, constrained by the training corpus.
